Job Description

Life at Grab

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Get to know the Team

The Demand Analytics team turns data into growth—strengthening Grab's market leadership, optimizing product and promo performance, unlocking new demand through lifecycle and gamified experiences, scaling cross-vertical incentives and rewards, and partnering with product and business teams to pilot and scale high-ROI initiatives.

Get to know the Role

As a Senior Data Scientist for Demand team, you will be the analytical backbone of our growth strategy. You'll work with Product, Business, and Engineering teams to understand consumer behavior, identify market opportunities, and track the impact of our demand-generation efforts. Your role is to turn massive datasets into a roadmap for sustainable growth and competitive advantage.

You will reporting to our Analytics Manager and base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Identify Strategic Opportunities: Deep-dive into existing data to recommend product ideas that either solidify our current market share or unlock entirely new growth levers.
• Lead Experimentation: Design and propose robust experimentation strategies for new and exploratory features, analyzing results to provide clear "go/no-go" recommendations.
• Leverage AI for Insights: Utilize Generative AI and LLM-based tools to accelerate insight generation, automate root-cause analysis, and build intuitive, natural-language interfaces for complex data inquiries.
• Master Data Storytelling: Use visualization techniques and dashboards to present complex insights to non-technical audiences, influencing regional product roadmaps.
• Develop Scalable Frameworks: Identify recurring demand-side problem statements and build generalized analytical solutions to solve them efficiently at scale.
• Own Data Integrity: Design frontend and backend data specs for new demand features, collaborating with engineering to ensure high-quality data collection.
• Mentor and Role-Model: Support the professional development of junior team members while maintaining high standards of rigor in measurement, experimentation, and analysis.

Qualifications

W What Essential Skills You Will Need:

• At least 5 years of experience in data-related or quantitative fields, such as Analytics or Applied Data Science.
• Advanced SQL and proficiency in Python or R for handling large-scale datasets.
• Understanding of A/B testing methodologies and the ability to draw conclusions from high-velocity data.
• Ability to influence cross-functional stakeholders and present complex subjects simply to diverse audiences.
• Familiarity with Generative AI & LLMs: Experience applying Large Language Models for text summarization, sentiment analysis, or building "Chat with Data" internal tools.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.